October 8, 2020 @ 5:53 pm - posted by Aleksey

Here are some details about Python.

  1. Python happens to be the absolute most commonly utilized multi-purpose, high-level program writing language.
  2. Python allows programming in Object-Oriented and Procedural paradigms.
  3. Python programs generally speaking are smaller compared to other development languages like Java. Code writers need to form relatively less and indentation dependence on the language, means they are readable on a regular basis.
  4. Python language has been employed by practically all companies that are tech-giant – Bing, Amazon, Twitter, Instagram, Dropbox, Uber… etc.
  5. The biggest power of Python is huge number of standard collection and this can be employed for the next –
    • Device Learning
    • GUI Applications (like Kivy, Tkinter, PyQt etc. )
    • Internet frameworks like Django (used by YouTube, Instagram, Dropbox)
    • Image processing (like OpenCV, Pillow)
    • Online scraping (like Scrapy, BeautifulSoup, Selenium)
    • Test frameworks
    • Multimedia
    • Scientific computing
    • Text processing and so many more.
  • Python language introduction
  • Python 3 fundamentals
  • Python the generation language that is new
  • Crucial distinction between python 2. X and python 3. X with instance
  • Keyword phrases in Python | Set 1
  • Keyword phrases in Python | Set 2
  • Namespaces and Scope in Python
  • Statement, Indentation and Comment in Python
  • Structuring Python Programs
  • How exactly to verify that a sequence is really a legitimate keyword in Python?
  • Simple tips to designate values to variables in Python as well as other languages
  • How exactly to print without newline in Python?
  • Choice making
  • Fundamental calculator program using Python
  • Python Language benefits and applications

Input/Output

  • Using input in Python
  • Using input from console in Python
  • Using multiple inputs from user in Python
  • Python Input Practices for Competitive Programming
  • Vulnerability in input() work – Python 2. X
  • Python | Output utilizing print() function
  • How exactly to print without newline in Python?
  • Python | end parameter in print()
  • Python | sep parameter in print()
  • Python | Production Formatting

Information Kinds

  • Introduction to DataTypes
  • Strings
  • List
  • Tuples
  • Sets
  • Dictionary
  • Arrays Set 1, Set 2

Factors

  • Variables, expression condition and function
  • Optimum value that is possible of integer in python?
  • Worldwide and regional factors in python
  • Packing and arguments that are unpacking python
  • End parameter in Python
  • Type transformation in python
  • Byte objects string that is vs python
  • Print multiple and single adjustable
  • Swap adjustable
  • Personal factors
  • __name__ (a unique adjustable) in Python
  • Basic operator in python
  • Bitwise and logical not operator on boolean
  • Ternary operator
  • Division operator in python
  • Operator Overloading in Python
  • Any & all in python
  • Inplace and operators that are standard python
  • Operator function in python | Set – 1
  • Operator function in python | Set – 2
  • Inplace operator | Set -1
  • Inplace operator | Set -2
  • Logic Gates in Python
  • Python | a += b just isn’t always a = a + b
  • Distinction between == and it is operator in Python
  • Python Membership and Identity Operators | in, not in, is, is not

Control Flow

  • Loops
  • Loops and Control Statements (continue, break and pass) in Python
  • Looping strategy in python
  • Range vs xrange on python
  • Programs for printing pyramid method in python
  • Chaining contrast in python
  • Else with for
  • Switch function
  • Making use of iteration in python effortlessly
  • Iterators in Python
  • Iterators function in python| Set – 1
  • Iterators function in python | set -2
  • Python __iter__() and __next__() | transforming an item into an iterator
  • Python | distinction between iterable and iterator
  • Generators in python
  • Generators phrase in python

Functions

  • Functions in Python
  • Course technique method that is vs static Python
  • Write a function that is empty Python – pass declaration
  • Yield in the place of Return
  • Return Multiple Values
  • Partial Functions in Python
  • Top class functions in Python
  • Precision Managing
  • *args eharmony packages and **kwargs
  • Python closures
  • Function Decorators
  • Decorators in Python
  • Decorators with parameters in Python
  • Memoization making use of decorators in Python
  • Assist function in Python
  • Python | __import__() function
  • Python | range() does not return an iterator
  • Coroutine in Python
  • Python bit functions on int (bit_length, to_bytes and from_bytes)

Object concepts that are oriented

  • Python3 Intermediate Amount Topics
  • Course, Object and People
  • Information Hiding and Object Printing
  • Inheritance, types of item, issubclass and super
  • Polymorphism in Python
  • Course and fixed adjustable in python
  • Course technique and method that is static python
  • Changing course people
  • Constructors in Python
  • Destructors in Python
  • High grade function
  • Str() vs repr()
  • Str() vs vpr()
  • Metaprogramming with metaclasses
  • Instance and class characteristic
  • Representation
  • Barrier items
  • Timer things
  • Garbage collection

Exception Managing

  • Exception managing
  • Consumer defined Exception
  • Integrated Exception
  • Tidy up action
  • Nzec mistake
  • Python | 404 Error managing in Flask
  • Decide to try and except in Python
  • Determining Tidy Up Actions in Python

Leave a Reply